Track accepted paper

CiteScore:
4.16ℹCiteScore:2018: 4.160CiteScore measures the average citations received per document published in this title. CiteScore values are based on citation counts in a given year (e.g. 2015) to documents published in three previous calendar years (e.g. 2012 – 14), divided by the number of documents in these three previous years (e.g. 2012 – 14).

Impact Factor:
4.084ℹImpact Factor:2018: 4.084The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
2018 Journal Citation Reports (Clarivate Analytics, 2019)

5-Year Impact Factor:
3.969ℹFive-Year Impact Factor:2018: 3.969To calculate the five year Impact Factor, citations are counted in 2018 to the previous five years and divided by the source items published in the previous five years.
2018 Journal Citation Reports (Clarivate Analytics, 2019)

Source Normalized Impact per Paper (SNIP):
1.128ℹSource Normalized Impact per Paper (SNIP):2018: 1.128SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.

SCImago Journal Rank (SJR):
1.100ℹSCImago Journal Rank (SJR):2018: 1.100SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.

Author StatsℹAuthor Stats:Publishing your article with us has many benefits, such as having access to a personal dashboard: citation and usage data on your publications in one place. This free service is available to anyone who has published and whose publication is in Scopus.

Special Issue on FUZZY SYSTEMS AND DECISION MAKING FOR HYDROGEN ENERGY APPLICATIONS

1. Aims and Scope

Over the last decades fuzzy sets have been implemented numerous successful applications in various fields including energy optimization, energy storage and management, energy consumption, energy performance and efficiency, energy producing process and so on. The recent theoretical developments and use of new models in the area of fuzzy sets provide novel perspectives for the key mechanisms of decision making and information processing in hydrogen energy. The problems in the field of hydrogen energy problems can be formulated as a decision making problem, since there are many decision factors and criteria involved. Uncertainty plays an important role in this decision-making problem since criteria are far from being certain and involve decision maker’s subjective judgments. Therefore, the problem at hand which displays the features of a multi-criteria decision making problem is solved using fuzzy sets.

Fuzzy sets that is proposed by Zadeh (1965) have been very popular in modeling the real world problems involving vagueness and impreciseness. Various researchers have proposed several extensions of fuzzy sets such as interval type-2 fuzzy sets, intuitionistic fuzzy sets, interval-valued fuzzy sets, hesitant fuzzy sets, pythagorean fuzzy sets and neutrosophic fuzzy sets etc. These fuzzy sets use to captures the uncertainty and can give a structure in taking care of such instability information.

The aim of this special Issue is to publish recent advances in the development and approaches in hydrogen energy where fuzzy sets are explicitly taken into account.

2. Topics Covered

Potential topics included, but not limited to:

Fuzzy Multi-Criteria Decision Making on Hydrogen Energy Storage Site Selection

Fuzzy Modelling Methods in For Efficiency Measurement of Hydrogen Production Systems

Authors who are uncertain about the suitability of their papers should contact the special issue editors. All submissions must contain original unpublished work not being considered for publication elsewhere.

3. Important Dates

1 October 2019: Submission Deadline
November 2019: notification of first round of reviews